Cogleus – Where Your Skills Innovate Tomorrow

Job Description:

We are currently developing an AI-powered platform that will leverage machine learning to deliver advanced automation and decision-making capabilities in a targeted domain. We’re seeking a hands-on ML Engineer with Google Vertex AI expertise to help us accelerate development and bring innovative capabilities to market. You’ll work directly with our leadership and project team to design, develop, and deploy machine learning models on Google Vertex AI, integrating them into a scalable, production-ready environment. Your work will drive model performance, platform intelligence, and operational efficiency.

Here are some things you'll be working on:

• Design, build, and deploy ML models on Google Vertex AI for NLP and classification tasks.
• Develop data ingestion, transformation, and storage workflows.
• Train, evaluate, and optimize models for performance and accuracy.
• Collaborate with backend developers to integrate ML components into the platform.
• Implement monitoring, retraining, and model versioning processes.
• Contribute to architecture decisions for scalability and maintainability.

Required Qualifications

• Proven experience with Google Vertex AI (training, deployment, pipelines, model monitoring).
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• Experience in NLP and text classification.
• Familiarity with cloud-based data storage and retrieval (BigQuery, Cloud Storage).
• Strong understanding of ML lifecycle and MLOps best practices.

Nice-to-Haves

• Experience with Google Cloud integrations (BigQuery ML, AI Platform).
• Knowledge of domain-specific AI applications in business operations.
• Prior startup or MVP experience.

What We Offer

• Flexible work schedule.
• Opportunity to shape an AI platform from the ground up.
• Collaborative, fast-moving, and outcome-driven environment.

How to Apply
Send your resume, GitHub/portfolio links, and a short note about your experience with Google Vertex AI to recruit@cogleus.com.

Job Description:

We are seeking an experienced Technical Oracle Financial Consolidation and Close Service (FCCS) Consultant to join our team. The successful candidate will be responsible for the technical implementation, customization, and optimization of Oracle FCCS solutions. This role involves developing integrations, managing data, creating reports, and providing technical support to ensure our clients maximize their Oracle FCCS investment. The ideal candidate will have a strong technical background in Oracle EPM (Enterprise Performance Management) applications, particularly FCCS, along with excellent problem-solving skills.

Here are some things you could be working on in the future:

• Design, develop, and implement integrations between Oracle FCCS and other enterprise systems using tools like Oracle Data Management, Oracle Integration Cloud (OIC), and other integration solutions
• Develop custom APIs and web services for seamless data exchange
• Manage data extraction, transformation, and loading (ETL) processes to ensure data accuracy and integrity within Oracle FCCS
• Create custom reports, dashboards, and analytics solutions using Oracle Smart View, Financial Reporting Studio, and other Oracle EPM tools
• Configure and manage security roles and permissions within Oracle FCCS to ensure data security and compliance with regulatory requirements

You’re a good fit if you have/are:

• Bachelor’s degree in computer science, Information Technology, Finance, or a related field
• Oracle certification in relevant technical areas (e.g., Oracle FCCS, Oracle EPM) is highly desirable
• Minimum of 3-5 years of experience as a Technical Consultant with Oracle FCCS and other Oracle EPM applications
• Strong expertise in Oracle FCCS, Oracle Data Management, and Oracle Integration Cloud (OIC)
• Proficiency in programming languages such as SQL, PL/SQL, Java, and Python
• Knowledge of data security, privacy, and compliance standards

Join our winning team today!